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We would like to introduce our "Data Scientist and AI Engineer Dispatch Service." The Data Scientist and AI Engineer Dispatch Service sends data scientists and AI engineers who can help solve business challenges and needs by utilizing your data. [Examples of Common Challenges and Needs] - We want to organize and analyze our data. - We want to visualize our data for business improvement. - We want insights to engage in machine learning. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationAs a challenge, the existing analysis tasks required a lot of effort and analytical skills, making it difficult to promote DX. Therefore, our company implemented modifications and additions to the data analysis web application (data selection function, visualization function, and new screens and functions for model loading/prediction). We used Python as the web application framework. [Case Overview] ■Challenge - The existing analysis tasks required a lot of effort and analytical skills, making it difficult to promote DX. - We want to develop a data analysis web application to reduce the need for skills and effort in on-site data analysis tasks. ■Work Content - Modifications and additions to the data analysis web application (data selection function, visualization function, and new screens and functions for model loading/prediction). - Python was used as the web application framework. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationThere were issues such as 'users are unable to fully utilize the functions of increasingly advanced vehicles' and 'I want to confirm whether the estimated driving conditions are as expected.' In response, our company developed a function proposal application in Python based on a rule-based logic table. We input demo data into the created application, confirmed that the functions were displayed as expected, output logs from the demo data, and submitted the aggregated results. 【Case Overview】 ■Challenges - Users are unable to fully utilize the functions of increasingly advanced vehicles. - We want to estimate driving conditions from driving data and propose functions suitable for the user. - We want to confirm whether the estimated driving conditions are as expected. ■Work Details - Developed a function proposal application in Python based on a rule-based logic table. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationAs a challenge, it was pointed out that "we want to automatically link the vast amount of data regarding materials used in products under development by Lot number and combine it into a single table of data." In response, our company built a business efficiency tool in Python to link multiple data sets. We actually ran the program to check for any unnatural behavior and to verify the output files, and submitted the linked dataset as a deliverable. 【Case Overview】 ■Challenge - We want to automatically link the vast amount of data regarding materials used in products under development by Lot number and combine it into a single table of data. ■Work Content: Built a business efficiency tool in Python to link multiple data sets. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationThere were challenges such as wanting to automate the monthly standardized reporting that is currently manually compiled and documented from various observation device data sources, and wanting to automatically identify missing values and outliers that are currently judged manually. In response, our company created a business efficiency tool using Python to obtain, aggregate, and transcribe data from various observation device data sources into a monthly report. We submitted a file containing scripts that meet the requirements and the final report as deliverables. [Case Overview] ■Challenges - We want to automate the monthly standardized reporting that is currently manually compiled and documented from various observation device data sources. - We want to automatically identify missing values and outliers that are currently judged manually. ■Work Details - We created a business efficiency tool using Python to obtain, aggregate, and transcribe data from various observation device data sources into a monthly report. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationAs an issue, it has been pointed out that "the number of driving accidents involving elderly people is increasing, and in order to mandate automatic braking, it is necessary to enhance the overall recognition accuracy of signals, vehicles, signs, road surfaces, and pedestrians." In response, our company has carried out tasks such as data organization, preprocessing, model construction, model performance analysis, examination of learning methods, and examination of recognition algorithms. While consulting with client representatives on multiple themes during the above processes, we improved the model. 【Case Overview】 ■ Issue - The number of driving accidents involving elderly people is increasing, and in order to mandate automatic braking, it is necessary to enhance the overall recognition accuracy of signals, vehicles, signs, road surfaces, and pedestrians. ■ Work Content - Data organization, preprocessing, model construction, model performance analysis, examination of learning methods, examination of recognition algorithms. - Improved the model while consulting with client representatives on multiple themes during the above processes. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationAs a challenge, it was pointed out that "we want to use AI (OpenPose) for human skeletal authentication, but using the existing fisheye lens (full-surround lens) camera significantly reduces the accuracy of the AI (skeletal authentication)." In response, our company considered the development policy and created a training dataset. After training the model using the dataset, we conducted learning evaluation, judgment result evaluation, and tuning. 【Case Overview】 ■Challenge - We want to use AI for human skeletal authentication, but using the existing fisheye lens camera significantly reduces the accuracy of skeletal authentication. - Images taken with a full-surround lens can only recognize skeletal features within a 45° range directly above. ■Tasks - Consideration of development policy - Creation of training dataset - Model training, evaluation, and tuning *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationThere was a challenge where 'staff members were monitoring the congestion situation in the area and providing broadcast announcements, but there was variability in the announcements depending on the person, leading to a lack of uniformity in service.' In response, our company created an object detection model that recognizes human heads using an open dataset. By determining the position of individuals based on the output information, we can assess the level of congestion within the area. Additionally, based on the congestion level, it is possible to display/broadcast content registered in the existing signage and automatic broadcasting systems. [Case Overview] ■ Challenge - Staff members were monitoring the congestion situation in the area and providing broadcast announcements, but there was variability in the announcements depending on the person, leading to a lack of uniformity in service. ■ Work Details - Created an object detection model that recognizes human heads using an open dataset. - Assessed the level of congestion within the area using a program that determines the position of individuals based on the output information from the object detection model. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationIn recent years, while highly accurate machine learning models have been developed, there is a problem of increasing black-box nature of these models. Since it is difficult to use them for decision-making in their black-box state, we aim to demonstrate the rationale behind predictions by using XAI. Our company has implemented model construction and XAI (PFI, PD, ICE, SHAP). We compiled the analysis results and the interpretations provided by XAI into a report and submitted it. 【Case Overview】 ■ Issues - In recent years, while highly accurate machine learning models have been developed, there is a problem of increasing black-box nature of these models. - It is difficult to use them for decision-making in their black-box state, so we want to demonstrate the rationale behind predictions by using XAI. ■ Work Content - Model construction and implementation of XAI (PFI, PD, ICE, SHAP) - Interpretation of model prediction results using XAI *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationWe would like to introduce a case study on emotion analysis in a remote work environment. In response to the challenge of wanting to diagnose employees' mental health through voice and images in a remote work setting, we used numerical data obtained from an emotion estimation engine to detect differences from a normal state using a machine learning model. We created a difference detection tool in Python that executes everything from preprocessing to model creation and accuracy calculation in one go. 【Case Overview】 ■ Challenge: To diagnose employees' mental health through voice and images in a remote work environment. ■ Tasks: - Use numerical data obtained from the emotion estimation engine to detect differences from a normal state using a machine learning model. - Create a difference detection tool in Python that executes everything from preprocessing to model creation and accuracy calculation in one go. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationThere was a challenge to "automatically determine suitable thresholds for classifying three states: 'feeling good,' 'not feeling good,' and 'no change from usual.'" In response, our company devised a logic to find suitable thresholds for classifying these three states. We also created a script to automatically calculate the suitable thresholds and prepared a report on it. 【Case Overview】 ■ Challenge: To automatically determine suitable thresholds for classifying the three states: 'feeling good,' 'not feeling good,' and 'no change from usual' for each individual. ■ Tasks: - Development of logic to find suitable thresholds. - Creation of a script to automatically calculate suitable thresholds and preparation of the report. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationWe would like to introduce a case study of a customer who "obtained data from equipment and developed and implemented dedicated software, but has not been able to operate or maintain it." We built a database, used ETL tools to format the equipment data, stored it in the database, and visualized it using BI tools. Additionally, we replaced handwritten forms with electronic forms using electronic form tools. We created operation manuals for electronic forms and visualization screens, and we also handle maintenance and additional requests after implementation. [Challenges] ■ Data was obtained from equipment, and dedicated software was developed and implemented, but operation and maintenance have not been possible. ■ Handwritten forms are being used, resulting in time-consuming digitalization and aggregation tasks. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationWe would like to introduce a case study where we analyzed the factors contributing to the improvement of battery performance in automobiles. In response to the challenge of clarifying the relationship between battery performance and material properties for the construction and operation of manufacturing processes aimed at the practical use of batteries in automobiles, we used battery material property data to predict battery performance through ensemble learning. By analyzing the feature importance of the constructed model, we identify the factors that significantly contribute to improving accuracy. 【Deliverables】 ■ Cleansed dataset (Excel) ■ Trained model (pickle) ■ Analysis script (Python) ■ Final report summarizing the analysis results *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationWe will introduce a case study of a literature survey on multi-objective optimization in semiconductor design and evaluation conducted by our company. We select relevant papers from the web based on keywords related to the research theme and compile a list in order of citation count. Furthermore, we identify papers that require close reading, focusing on details of models and algorithms, as well as the data discussed within the papers. We will then share the insights gained from the close reading and engage in discussions with our clients regarding the models and methods. 【Work Content】 ■ Literature survey on new algorithms related to multi-objective optimization and new technologies related to AI utilization in sensing/design evaluation ■ Survey of academic societies specializing in the field of multi-objective optimization ■ Trend survey of models and methods in multi-objective optimization *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationWe would like to introduce a case from a customer who wants to provide a new service that combines traffic accident data accumulated in the insurance business with accident prediction models developed by other companies. Our company collects and processes the necessary accident, map, and weather data to create a training dataset. We then build a machine learning model and calculate the prediction accuracy using an evaluation dataset. Using the trained model, we predicted accidents for one month in Tokyo and created an accident prediction map. [Challenges] ■ We want to provide a new service that combines traffic accident data accumulated in the insurance business with accident prediction models developed by other companies. ■ We want to verify whether we can reproduce the accident prediction models developed by other companies in-house. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationWe would like to introduce a case where our company achieved a reduction in power consumption through the prediction of energy consumption for air conditioning equipment. We received Excel data containing information on previously measured air conditioning equipment and created a model to predict energy consumption using neural networks. From the model's prediction results, we analyzed the factors and improvement proposals. Based on the created materials, we proposed a report on the current stage of work along with predictions for future energy consumption and improvement suggestions. 【Deliverables】 ■ Cleansed dataset (Excel) ■ Trained model (pickle) ■ Code used for model creation (Python) ■ Document summarizing and discussing prediction results (Excel) ■ Final report summarizing analysis results *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationWe would like to introduce a case study on the organization of challenges towards circuit design automation that we conducted. In response to the challenge of wanting to implement automation using AI but lacking human resources for technical research and system construction, we clarified the challenges for building an AI-based design automation system and examined feasible methods (mainly multi-objective optimization). We organized the issues for each challenge, clarified the necessary technologies, and proposed an approach (structure and output) towards a Proof of Concept (PoC). [Challenges] ■ Circuit design requires specialized knowledge and experience, necessitating skilled personnel; however, due to high product demand, there is a shortage of manpower. ■ We want to implement automation using AI so that even inexperienced individuals can design, but we lack human resources for technical research and system construction. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationWe will introduce a case where automatic generation of advertising banners was realized according to the purpose. In response to the challenge of wanting to create creatives that change impressions through image processing on advertising banners, making them more clickable and evoking stronger emotions, deep learning technology was built using Python. Parameters were adjusted to ensure smooth learning, and data augmentation was implemented to optimize results and align with image transformations. [Challenges] ■ We want to create creatives that change impressions through image processing on advertising banners, making them more clickable and evoking stronger emotions. ■ We want to quantitatively define goals based on various criteria and purposes, and stably perform image processing according to those criteria. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationWe would like to introduce a case study of our "Data Utilization Advisory" service. We conducted regular meetings to check progress in response to the challenge of wanting to develop a system equipped with AI, but lacking knowledge on what to consider, and being unable to determine whether it was appropriate to proceed in this direction. Additionally, we provided reviews of the code created by the client and suggested alternative algorithms. [Challenge] ■ Desire to develop a system equipped with AI - Lacking knowledge on what to consider and unable to determine if it is appropriate to proceed in this direction - The implementer's skills are also insufficient, making it difficult to code as intended *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationWe would like to introduce a case where we provided advice on the utilization of sensors. We conducted a hearing via web conference to gather information about the objectives and ideas held by the client. We clarified the challenges related to the use of AI, assessed the data that could be obtained, and provided advice on data acquisition protocols for model creation. Additionally, we prepared a proposal for programming technical guidance and extraction tasks. [Challenges] ■ We want to add value using AI in commercializing the data obtained from the developed sensors. ■ We are unsure about the feasibility from a technical perspective, how much data we should collect for consideration, and whether there will be a cost-benefit effect. *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationWe would like to introduce a case study of the quality inspection conducted by our company on automotive parts inverter circuit boards. We selected data for distribution estimation using an anomaly detection model, and performed distribution estimation and threshold calculation tailored to each inspection item using statistical methods. We created a threshold calculation program in Python that executes data preprocessing, anomaly detection, distribution estimation, and threshold calculation all at once. 【Case Overview (Partial)】 ■ Deliverables - Threshold calculation program - Logic consideration report ■ Man-hours - 3 person-months, Duration: 3 months *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationThe "parameter optimization" of production equipment is an important means of improving productivity. Since the parameters of production equipment are crucial information that relates to the quality of the products, everyone on the shop floor is likely to want to know the appropriate values. We will publish the materials from a seminar conducted for those involved with production equipment, which explains the appropriate way to think about this difficult problem and how to approach it. Many people participated in the seminar, and the lively discussions made it clear that many are struggling with "parameter optimization." Why not take this opportunity to review the materials and start working on optimizing the parameters of your production equipment? 【Table of Contents】 • Company Introduction • Introduction • Review of Optimization Problems • Challenges and Solutions in the Real World • What TechnoPro Can Support • Conclusion
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Free membership registrationAt our Advanced Technology Center, we have a large number of data scientists with extensive knowledge who can comprehensively support everything from planning and consideration, data collection and analysis, to AI development, implementation, and verification. We also offer support for human resource development, such as AI literacy education. Our engineers, numbering over 7,000, have been engaged in development support for the manufacturing industry for many years and will promote your company's utilization of AI based on their broad knowledge and expertise. Currently, we are offering an 'AI Solution Case Collection' featuring 24 case studies aimed at solving business challenges. [Here are some highlights from the case collection] - BI system construction (integration/visualization of equipment data) [IoT] - Reduction of power consumption through energy consumption forecasting of air conditioning equipment [Predictive Analysis] - Quality inspection of automotive parts inverter circuit boards [Data Analysis] - Image recognition technology for autonomous driving [Deep Learning] - Analysis of factors improving battery performance in electric vehicles [Data Analysis] - Automatic linking of product data by lot number [Business Efficiency Tools] - Advice on sensor utilization [AI Advisory] *You can view detailed content immediately by clicking the download button.
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Free membership registrationOur company provides technology consulting, engineering, and education/training services, focusing on AI/data science, control systems, and hardware/software development. With over 7,000 engineers and extensive experience in the manufacturing industry, we can offer one-stop solutions to various challenges your company may face. Currently, we are distributing materials that summarize proposals for various solutions, including visualization of design logic, contract analysis, and support for training designers! For more details, please check the PDF download. Feel free to contact us with any inquiries. 【Here are some highlights from the materials】 ◎ New product development prototyping service [Technical systematization/development support] ◎ CAE solutions (contract analysis, improving analysis accuracy, education) ◎ Support for training designers (mechanical/software/electrical) [Engineer education] ◎ Cost-reduction design ensuring strength [FA/mechatronics] ◎ Requirement analysis to system testing applying MBSE [In-vehicle embedded] ◎ Consolidation of multiple specification documents in Excel [RPA/DX] ◎ Optimization of physical simulations [AI solutions]
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Free membership registrationWe would like to introduce our "AI Talent Development Service (Trial Version)." In this program, you will learn about the concepts of AI, case studies of its application, and specific approaches through "Practical Use of AI and Behavioral Transformation." You will also experience the key points and insights to consider as a manager in a manufacturing company regarding the utilization of AI, including the "Ten Principles of AI Utilization." This program has been implemented in dozens of companies, so please feel free to take this opportunity to experience it. [Content (Excerpt)] ■ Program - What is Artificial Intelligence (AI)? - Case studies of AI utilization - Practical use of AI and behavioral transformation - Examples of approaches to AI utilization - Ten Principles of AI Utilization *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationIn this case study collection, we introduce examples of the implementation of human resource training services. We have included proposals such as the "AI Utilization Workshop for Managers" for an automotive parts manufacturer and the "Overview Training on Anomaly Detection" for an electrical equipment manufacturer. We also explain the background, requests, and training outlines, so please take a moment to read through it. 【Featured Cases (Excerpt)】 ■ Automotive Parts Manufacturer - AI Utilization Workshop for Managers ■ Electrical Equipment Manufacturer - Overview Training on Anomaly Detection *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationWe would like to introduce our "Talent Development Services for the AI/Data Science Field." We build tailored educational services that combine our unique offerings with those provided by TechnoPro's alliance partners, delivering suitable content to meet customer needs. This allows for "customized training" that aligns with customer requirements. Additionally, we can flexibly change the contract structure according to each process and usage. 【Features】 ■ Development programs for strengthening leadership talent and expanding member talent ■ Expertise in training over 400 engineers, including those transitioning from different fields ■ A reliable support system even after utilizing the educational services *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationThe "AI educational content" created through the joint development of Denso and TechnoPro Design is proving to be very useful for Denso, where AI is one of the pillars of business and operational innovation.
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Free membership registrationThe introduction of "AI," which is gradually permeating the manufacturing industry, comes with various hurdles that await you. In our "AI Advisory Service," TechnoPro provides support for solving the challenges that arise during AI implementation with over 300 experienced data scientists trained by our company. We offer comprehensive advice on the necessity of AI implementation, including the quality and quantity of your company's data, as well as your challenges and objectives. Based on our expertise in cultivating AI talent, we also develop the core personnel for your AI business and support the organizational development necessary for the long-term integration of AI into your operations. **Key Points for Choosing the "AI Advisory Service":** - Over 300 data scientists well-versed in the manufacturing industry - Data assessment through simple analysis - Support for developing core personnel for your AI business based on our know-how - Assistance in solving your company's challenges, regardless of future AI implementation *You can view the service introduction materials with case studies from the "PDF Download" link below.*
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Free membership registrationAt TechnoPro's "AI Implementation and Verification Service," we support the resolution of various challenges in the introduction of AI technology and digital transformation (DX) in the manufacturing industry. 【Do you have any of the following challenges regarding AI implementation?】 - Frequent failures and troubles with production equipment/machinery. There is a need to establish a predictive monitoring system. - Identifying the causes of production equipment failures is taking a lot of time and cost. - When the material process is complex, manual adjustments of material parameters are time-consuming... etc. We provide comprehensive support from setting goals for data utilization and cost-effectiveness to building models and systems using your data. We not only improve existing operations with AI but also support the creation of new services incorporating AI. 【Key Points for Choosing the "AI Implementation and Verification Service"】 ■ Acquisition of knowledge and processes for data analysis in AI implementation ■ Comprehensive support from data analysis to system construction ■ Utilization of developed data analysis platforms and base model libraries → Enables faster system construction compared to developing from scratch *Service introduction materials with case studies can be viewed from the "PDF Download" link below.
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Free membership registrationAt our Advanced Technology Center, we have a large number of data scientists with extensive knowledge who can comprehensively support everything from planning and consideration, data collection and analysis, to AI development, implementation, and validation. We also offer support for human resource development, such as AI literacy education. Our engineers, numbering over 7,000, have been engaged in development support for the manufacturing industry for many years and will promote your company's use of AI based on their wide-ranging knowledge and know-how. Currently, we are offering an "AI Solution Case Collection" that includes 14 case studies aimed at solving business challenges. [Here are some examples from the collection] ◎ BI system construction (integration/visualization of equipment data) [IoT] ◎ Reduction of power consumption through energy consumption prediction of air conditioning equipment [Predictive Analysis] ◎ Quality inspection of automotive parts inverter circuit boards [Data Analysis] ◎ Image recognition technology for autonomous driving [Deep Learning] ◎ Analysis of factors improving battery performance in electric vehicles [Data Analysis] ◎ Automatic linking of product data by lot number [Business Efficiency Tool] ◎ Advice on sensor utilization [AI Advisory] *You can view detailed content immediately by clicking the download button.
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Free membership registrationSalesCloud is a cloud-based platform for sales support (SFA) and customer relationship management (CRM) provided by Salesforce.com. 【Expected Issues】 - Managing project information and sales activity status across multiple Excel sheets, leading to a reliance on individual efforts for data aggregation in reports. - Sales employees face a heavy administrative burden, preventing them from focusing on sales activities. - There is a desire to standardize sales activities and improve the accuracy of sales forecasts. - There are challenges in real-time sharing of sales status. 【Expected Benefits】 - Freed from the tasks of data aggregation from multiple Excel sheets, enabling quick management decisions through the visualization of sales activities. - Organization of business processes through implementation support. - Acquisition of a Salesforce system that matches business processes. - Accumulation of internal know-how through the provision of operational expertise and user training support from our company.
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Free membership registrationIn the trend of digitalization, efforts towards transformation into DX (Digital Transformation) are accelerating. As various technologies emerge, it is important to identify the necessary technologies based on "the challenges faced by the company" and "the desired future state." We offer consulting for promoting DX, including theme formulation, consideration of transitioning to proof of concept (PoC), and defining requirements for realization. [Expected Challenges] - Not knowing where to start when considering data utilization - Uncertainty about whether the approach is correct - Inability to establish a comprehensive plan [Expected Effects] - Ability to formulate themes and set goals - Clarity on what needs to be done to implement PoC - Ability to determine the policy for utilizing internal data
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Free membership registrationWe will cultivate engineers who can think independently, take action, communicate effectively, and propose new ideas, not just by explaining the content and connections of each project. This training is aimed at engineers who have a general understanding of their assigned tasks.
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Free membership registrationFinger1, an automatic verification device for touch panel equipment software, performs taps and swipes as if operated by a human, automatically verifying through image recognition whether the software of the touch panel device behaves as expected. [Usage Examples] - Discovering bugs such as memory leaks through continuous testing - Conducting degradation tests for efficiency - Verifying applications such as games - Validating in-vehicle devices *Demo video available. For more details, please contact us or download the PDF for more information.
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Free membership registrationThe "AI Implementation and Verification Service" sets goals for data utilization and cost-effectiveness, and builds models using the customer's data. By utilizing our developed data analysis platform and base model library, we can construct systems more quickly than starting from scratch. We welcome those who want to improve existing operations with AI, as well as those looking to create new services incorporating AI. 【Features】 ■ AI Implementation - Acquisition of knowledge and processes for data analysis ■ Use of our proprietary algorithms - Utilization of high-precision machine learning algorithms ■ Comprehensive service - A seamless service from data analysis to system construction *Service introduction materials with case studies can be viewed from the "PDF Download" link below.
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Free membership registrationAre you facing issues such as "frequent design revisions leading to tight deadlines" or "difficulty in sharing technical know-how, resulting in a reliance on specific individuals"? The "Design Process Improvement Solution" is a service that investigates and analyzes the design site to visualize problems and challenges. We will propose improvement solutions for the identified challenges. 【Features】 ■ Streamlining the design process ■ Utilizing defect information ■ Organizing procedure manuals ■ Establishing a technical management system ■ Visualizing business analysis ■ Educating designers' mindset *You can view the service introduction materials with case studies by downloading the PDF below.
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Free membership registrationEven if you think, "Now, let's introduce AI into our operations!" there are various hurdles waiting ahead. In the 'AI Advisory Service' provided by TechnoPro, over 300 data scientists trained by our company leverage their insights from practical experience to clarify the hidden hurdles and support you in overcoming them. Please feel free to contact us when you need assistance. 【Features】 ■ Advice based on the achievements of 300 individuals ■ Data assessment through simple analysis ■ Options for not implementing AI are also presented ■ Support for developing personnel who can utilize AI *You can view the service introduction materials with case studies from the "PDF Download" link below.
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Free membership registrationBluetoothLE (Bluetooth Low Energy / BLE) is an extended specification of Bluetooth, which is one of the short-range wireless communication standards. It has a short communication range and low communication speed, but is characterized by extremely low power consumption, allowing for long-term operation. In the automotive industry, the adoption of BLE is progressing in systems such as keyless entry. We have experience in researching, benchmarking, and developing prototypes of BluetoothLE communication ICs. Utilizing our experience in development with the SDKs provided by various IC manufacturers, we support our customers' product development. 【Expected Challenges】 - Unable to determine which manufacturer's IC is suitable for our products. - Unable to validate requirements with a POC using BluetoothLE communication ICs. 【Expected Benefits】 - Establish evaluation criteria suitable for our products in IC selection and obtain benchmark results. - Enable requirement validation and prototyping using existing evaluation boards and SDKs.
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Free membership registrationBluetoothLE (Bluetooth Low Energy / BLE) is an extension specification of Bluetooth, which is one of the short-range wireless communication standards. It has a short communication range and low communication speed, but is characterized by extremely low power consumption, allowing for long-term operation. In the automotive industry, the adoption of BLE is progressing in systems such as keyless entry. We have experience in developing BluetoothLE communication applications. Utilizing the development experience with SDKs provided by various IC companies, we support our customers in their product development.
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Free membership registrationWe have experience in developing the reprogramming function, diagnostic service function, and CAN function of the AUTOSAR Classic Platform, as well as in ECU development that involves existing BSW, including the development of the core code of BSW itself. Additionally, we support multiple BSW/OEMs, allowing for development that leverages a wide range of knowledge. 【Expected Challenges】 - We want to modify it to operate on a customer-specified microcontroller. - We want to align the diagnostic service function with the customer's specifications. - We want to change the security function from software (CSM) to hardware (HSM). - We want to build and evaluate a UDS-compliant MICROSAR simulation environment, but we lack the know-how. - We want to evaluate the diagnostic service function. - We want to build an evaluation environment using CANoe. 【Expected Benefits】 - Based on our collaboration experience with BSW development companies, we can provide support from both supplier and vendor perspectives. - For verification, we can provide consistent support from the construction of the verification environment to the verification itself, which can shorten the development period.
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Free membership registrationAs the importance of cybersecurity increases, the shortage of skilled personnel in this area has become a significant challenge. In 2017, the Cabinet Cybersecurity Center (NISC) announced a cybersecurity workforce development program, and the government is also focusing on talent development. In response to the growing threat of cyberattacks, we are implementing a variety of cybersecurity training programs aimed at different departments and roles, from the security department to management and general staff, to protect various information within the company. [Expected Challenges] - Concerns about the ability to respond to security incidents - Inability to control employees' handling of systems and emails - Lack of understanding of cybersecurity among executives [Expected Effects] - Increased awareness of cybersecurity among all employees - IT department employees can respond to risks with correct knowledge - Understanding the gap between the current security risks and the company's IT environment
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Free membership registrationThe importance of cybersecurity is increasing year by year in an information society, not only due to cyber attacks from external sources via the internet but also because of the risk of information leaks from within the company. To swiftly respond to the ever-evolving cyber attacks, security measures and risk management have become one of the significant management challenges that cannot be overlooked. Currently, cybercrime through the internet and other means is on the rise. Additionally, new methods of cyber attacks are evolving daily, making it necessary for companies to regularly diagnose the vulnerabilities of their websites and network systems. 【Expected Issues】 - Security measures are implemented irregularly, but there are concerns about new threats. - Users have pointed out that the management of confidential information is lax. - Numerous security constraints are hindering business operations. 【Expected Benefits】 - Comprehensive diagnosis of the system can uncover deep-seated vulnerabilities. - The security diagnosis report can clearly display evidence of management. - By implementing appropriate tools based on the results of the security diagnosis, business operations can be conducted efficiently.
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Free membership registrationStructural Analysis Education (Linear and Nonlinear Fundamentals) This course deepens the understanding of analytical theories and nonlinear software. Participants will learn methods and insights to identify and correct the causes of discrepancies in results, thereby improving analytical accuracy based on reasoning. 【Expected Challenges】 - Having nonlinear software but unable to use it effectively, resulting in no improvement in accuracy. - Conducting rigidity and strength tests for fragile parts during delivery, but the test results diverge from the supporting CAE results, leading to a lack of credibility in quality. - Seeking to enhance methods and insights to improve analytical accuracy. 【Expected Benefits】 - Understanding of analytical theories (including methods for formulating physical property values and the impact of boundary conditions). - Development of logical thinking and mental simulation skills to investigate and correct the causes of discrepancies with measurement values. - Improvement in analytical and corrective abilities based on reasoning, rather than uniform operations.
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Free membership registrationAnalysis Outsourcing (Mechanical) We propose appropriate CAE analysis solutions based on interviews with specialized consultants. This includes introducing CAE vendors in our alliance, addressing issues related to discrepancies between analysis and actual results, as well as consulting and providing resources. 【Expected Challenges】 - Wanting to conduct CAE analysis but lacking infrastructure, knowledge, and personnel. - Wanting to proceed with design while considering whether large precision equipment meets seismic specifications, but lacking analysis personnel and infrastructure. - Wanting to outsource but unable to find a contractor that can provide quality and accurate analysis that captures the design intent. 【Expected Benefits】 - Our personnel with analysis expertise can hear customer needs, allowing for optimal selection of subcontractors. - In result submission, instead of merely bridging simple analysis data, we process and analyze the data, ensuring that double-checked analysis results are obtained.
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